Senior Data Engineer (Databricks & PySpark)

Miejsce pracy: Warszawa

Technologies we use

Expected

PySpark
Python
Spark SQL
Git

Operating system

Windows

About the project

We are seeking an experienced Senior Data Engineer on behalf of our client to design, build, and operate their Sustainability Data Foundation (SDF). The SDF supports trusted, scalable, and auditable sustainability reporting and analytics through a modern data platform built on Databricks.

You will join a Sustainability Data & AI team that values reliability, operational excellence, and practical solutions over unnecessary complexity. The focus of this role is to deliver data products and pipelines that enable regulatory compliance and advanced analytics.

Contracting party: Optiveum (B2B Cooperation Agreement)

This is how we organize our work

This is how we work

at the client's site
you focus on a single project at a time
you have influence on the product
you focus on product development
agile

Your responsibilities

Data Engineering & Product Development: Design and implement scalable data products using Databricks, Delta Lake, and PySpark. Build and maintain data pipelines processing complex datasets from ERP, procurement, sustainability, and external systems.
Performance Optimization: Optimize workloads for performance, scalability, and cost efficiency, building reusable engineering patterns.
Data Quality & Governance: Implement automated data quality controls throughout the data lifecycle. Proactively identify and resolve data issues before they impact reporting.
Platform Engineering & DevOps: Implement CI/CD pipelines, automated deployments, testing frameworks, and Infrastructure as Code (IaC). Support platform security controls and access management.
Stakeholder Collaboration: Partner with sustainability experts, business analysts, and reporting teams to support requirements gathering, solution design, and production releases.

Our requirements

5–7 years of experience designing, developing, and operating data platforms and pipelines.
Extensive hands-on experience with Databricks (including Azure Databricks and Databricks Workflows) in production environments.
Expert-level proficiency in PySpark, Python, Spark SQL, Data Modelling, and Data Pipeline Design.
Experience implementing CI/CD pipelines for data engineering workloads, Git-based development, and version control.
Solid understanding of data lineage, metadata management, governance, auditing, and validation frameworks.
Fluent English (both written and spoken).
Proactive, self-driven mindset with strong troubleshooting and root-cause analysis skills.

Optional

Experience with sustainability reporting, ESG data, and regulatory reporting requirements.
Knowledge of procurement, supplier, finance, and ERP data domains.
Experience developing Databricks applications, dashboards, or user-facing data tools.

This is how we work on a project

Continuous Deployment
Continuous Integration

Benefits

remote work opportunities
integration events

Please note: Optiveum acts as the recruitment partner and the direct contracting party for this position. The selected candidate will sign a cooperation agreement directly with Optiveum.

OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

Optiveum is acting as a sourcing partner for this role. You will be signing a cooperation agreement directly with our partner—a renowned IT contracting company with nearly 20 years of presence on the market.

The end client operates in the international public, defense, or government administration sector, leading large-scale, multi-million euro digital transformation projects.

Senior Data Engineer (Databricks & PySpark)

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